The graph represents a network of 9,473 Twitter users whose tweets in the requested range contained "Polio", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 28 January 2022 at 02:51 UTC.
The requested start date was Friday, 28 January 2022 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 6-day, 9-hour, 42-minute period from Friday, 21 January 2022 at 02:21 UTC to Thursday, 27 January 2022 at 12:04 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 9473
Unique Edges : 4739
Edges With Duplicates : 12290
Total Edges : 17029
Number of Edge Types : 5
Retweet : 5598
MentionsInRetweet : 6715
Replies to : 1546
Tweet : 701
Mentions : 2469
Self-Loops : 721
Reciprocated Vertex Pair Ratio : 0.0120323559150657
Reciprocated Edge Ratio : 0.0237785992606654
Connected Components : 1251
Single-Vertex Connected Components : 287
Maximum Vertices in a Connected Component : 4542
Maximum Edges in a Connected Component : 10134
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 5.18166
Graph Density : 0.00011154791641108
Modularity : 0.574099
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 9,473 Twitter users whose tweets in the requested range contained "Polio", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 28 January 2022 at 02:51 UTC.
The requested start date was Friday, 28 January 2022 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 6-day, 9-hour, 42-minute period from Friday, 21 January 2022 at 02:21 UTC to Thursday, 27 January 2022 at 12:04 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : Polio
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1281] polio,smallpox [1217] herd,immunity [1186] mhdksafa,know [1186] needs,hear [1185] know,needs [1184] hear,polio [1183] smallpox,never [1183] natural,herd [1182] never,reached [1182] reached,natural Top Word Pairs in Tweet in G1:
[1170] polio,smallpox [1142] herd,immunity [1141] mhdksafa,know [1139] needs,hear [1139] hear,polio [1139] smallpox,never [1138] know,needs [1138] never,reached [1138] reached,natural [1138] natural,herd Top Word Pairs in Tweet in G2:
[975] died,polio [971] #neilyoung,died [971] polio,kid [971] kid,vaccine [971] vaccine,didn [971] didn,exist [971] exist,born [971] born,illness [971] illness,affected [971] affected,life Top Word Pairs in Tweet in G3:
[126] neil,young [125] worth,noting [125] noting,neilyoung [125] neilyoung,#polio [125] #polio,age [125] age,father [125] father,globeandmail [125] globeandmail,columnist [125] columnist,scott [125] scott,young Top Word Pairs in Tweet in G4:
[29] polio,vaccine [13] polio,free [13] neil,young [12] against,polio [12] polio,smallpox [11] covid,19 [11] marks,one [11] one,year [10] pakistan,marks [10] year,polio Top Word Pairs in Tweet in G5:
[93] prime,minister [80] minister,imrankhanpti [80] telephonic,conversation [80] co,chairman [80] chairman,bill [80] bill,melinda [79] imrankhanpti,telephonic [79] billgates,co [75] melinda,gates [74] conversation,mr Top Word Pairs in Tweet in G6:
[217] neil,young [213] blackamazon,neil [192] young,childhood [192] childhood,survivor [192] survivor,polio [192] polio,isn [192] isn,woke [192] woke,signifying [43] polio,vaccine [22] young,polio Top Word Pairs in Tweet in G7:
[197] kok,baru [197] baru,sekarang [197] sekarang,jaman [197] jaman,dulu [197] dulu,imunisasi [197] imunisasi,sekolah2 [197] sekolah2,juga [197] juga,udah [197] udah,banyak [197] banyak,polio Top Word Pairs in Tweet in G8:
[360] neil,young [179] both,polio [177] young,trending [177] trending,here's [177] here's,tidbit [177] tidbit,neil [177] young,mitch [177] mitch,mcconnell [177] mcconnell,same [177] same,age Top Word Pairs in Tweet in G9:
[152] neil,young [143] polio,survivor [141] young,polio [139] page88,neil [10] polio,smallpox [9] joni,mitchell [9] mhdksafa,know [9] know,needs [9] needs,hear [9] hear,polio Top Word Pairs in Tweet in G10:
[91] doctor,suggesting [91] suggesting,infect [91] infect,kids [91] kids,purpose [91] purpose,didn [91] didn,take [91] take,kids [91] kids,diphtheria [91] diphtheria,pertussis [91] pertussis,polio Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: